Package: grmsem 1.1.0
grmsem: Genetic-Relationship-Matrix Structural Equation Modelling (GRMSEM)
Quantitative genetics tool supporting the modelling of multivariate genetic variance structures in quantitative data. It allows fitting different models through multivariate genetic-relationship-matrix (GRM) structural equation modelling (SEM) in unrelated individuals, using a maximum likelihood approach. Specifically, it combines genome-wide genotyping information, as captured by GRMs, with twin-research-based SEM techniques, St Pourcain et al. (2017) <doi:10.1016/j.biopsych.2017.09.020>, Shapland et al. (2020) <doi:10.1101/2020.08.14.251199>.
Authors:
grmsem_1.1.0.tar.gz
grmsem_1.1.0.zip(r-4.5)grmsem_1.1.0.zip(r-4.4)grmsem_1.1.0.zip(r-4.3)
grmsem_1.1.0.tgz(r-4.4-any)grmsem_1.1.0.tgz(r-4.3-any)
grmsem_1.1.0.tar.gz(r-4.5-noble)grmsem_1.1.0.tar.gz(r-4.4-noble)
grmsem_1.1.0.tgz(r-4.4-emscripten)grmsem_1.1.0.tgz(r-4.3-emscripten)
grmsem.pdf |grmsem.html✨
grmsem/json (API)
| # Install 'grmsem' in R: |
| install.packages('grmsem', repos = c('https://bstpourcain.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 4 years agofrom:c9847e92ea. Checks:OK: 1 WARNING: 6. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 30 2024 |
| R-4.5-win | WARNING | Oct 30 2024 |
| R-4.5-linux | WARNING | Oct 30 2024 |
| R-4.4-win | WARNING | Oct 30 2024 |
| R-4.4-mac | WARNING | Oct 30 2024 |
| R-4.3-win | WARNING | Oct 30 2024 |
| R-4.3-mac | WARNING | Oct 30 2024 |
Exports:grm.bin.inputgrm.inputgrmsem.bihergrmsem.fcohergrmsem.fitgrmsem.stpargrmsem.var
Dependencies:cliexpmfansigenericsgluelatticelifecyclemagrittrMatrixmsmmvtnormnumDerivoptimParallelpillarpkgconfigrlangsurvivaltibbleutf8vctrs
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Prefitted model: large data set | fit.large |
| Symmetric GRM data: small data set | G.small |
| grm import function | grm.bin.input |
| grm import function | grm.input |
| grmsem bivariate heritability estimation function. | grmsem.biher |
| grmsem factorial co-heritability and co-environmentality estimation function. | grmsem.fcoher |
| grmsem model fitting function | grmsem.fit |
| grmsem standardised parameters function | grmsem.stpar |
| grmsem variance estimation function | grmsem.var |
| Phenotype data: large data set | ph.large |
| Phenotype data: small data set | ph.small |
